Company Overview

The organization operates within the fintech and digital financial services industry, developing technology-driven solutions that support financial decision-making, risk assessment, and data-informed financial operations.

Its analytical environment combines financial expertise, quantitative methodologies, and modern data infrastructure to support the evaluation of financial exposures and the development of effective risk management practices.

The organization values analytical precision, technical innovation, and responsible financial operations. Its remote workforce includes professionals specializing in quantitative analysis, financial risk, software engineering, and financial data management.

Role Summary

The Quantitative Financial Risk Modelling Analyst will support the development, validation, and maintenance of quantitative models used to assess financial risk across digital financial products and financial market activities.

The role involves analyzing financial datasets, developing statistical models, evaluating risk indicators, and supporting the improvement of risk assessment methodologies.

The successful candidate will work closely with risk management, data science, engineering, and financial operations teams to develop reliable analytical solutions that support risk monitoring and decision-making.

This position requires a strong quantitative background, practical programming skills, and an understanding of financial risk concepts. The ideal candidate will be comfortable working with complex datasets, developing analytical models, and communicating technical findings to relevant stakeholders.

Key Responsibilities

• Develop and maintain quantitative models supporting financial risk assessment and exposure monitoring.

• Analyze financial datasets to identify risk patterns, anomalies, and potential sources of financial exposure.

• Apply statistical techniques and quantitative methodologies to evaluate financial risk indicators.

• Support the development of models used for credit risk assessment, market risk analysis, or transaction risk monitoring.

• Perform model validation activities to assess analytical accuracy, stability, and performance.

• Conduct sensitivity analysis and scenario testing to evaluate the impact of changing financial conditions.

• Develop analytical scripts and automated workflows for recurring risk calculations and reporting.

• Collaborate with data engineers to improve the quality, accessibility, and reliability of risk-related datasets.

• Review model assumptions and identify areas requiring methodological improvement.

• Prepare analytical reports explaining model outputs, risk indicators, and quantitative findings.

• Support the implementation of risk monitoring dashboards and analytical reporting systems.

• Maintain documentation covering model methodology, data sources, validation procedures, and analytical limitations.

• Contribute to the continuous improvement of quantitative risk methodologies and financial analytics infrastructure.

Requirements and Qualifications

• Bachelor’s or master’s degree in Mathematics, Statistics, Economics, Financial Engineering, Quantitative Finance, or a related discipline.

• At least three years of experience in quantitative analysis, financial risk modelling, financial analytics, or a related field.

• Strong understanding of statistical modelling, probability theory, and quantitative analysis.

• Practical experience developing analytical models using Python, R, or comparable programming languages.

• Strong proficiency in SQL and financial data analysis.

• Familiarity with credit risk, market risk, liquidity risk, or transaction risk methodologies.

• Experience performing model validation, sensitivity analysis, or scenario testing.

• Knowledge of financial instruments, financial markets, or digital financial services is advantageous.

• Strong numerical reasoning and problem-solving capabilities.

• Ability to communicate quantitative findings clearly to technical and non-technical stakeholders.

• Experience with machine learning techniques or financial risk modelling frameworks is beneficial.

Benefits

• Remote working arrangement within Estonia.

• Competitive compensation based on experience and technical qualifications.

• Opportunity to work on advanced quantitative financial risk methodologies.

• Professional development in quantitative finance, risk modelling, and financial analytics.

• Exposure to modern analytical infrastructure and financial technology systems.

• Collaborative environment involving quantitative analysts, risk professionals, and engineers.

• Access to modern digital tools supporting remote work and analytical collaboration.

Application Instructions

Candidates should submit an updated CV highlighting their experience in quantitative finance, financial risk modelling, statistical analysis, and programming.

Applications should demonstrate relevant analytical expertise, familiarity with financial risk methodologies, and experience developing or validating quantitative models. Candidates with experience supporting financial technology platforms or financial risk systems are encouraged to apply.

Apply by clicking on the “Apply Now” Button below!

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